Assignments(DL)
1 Introduction
The assignments documented here reflect a comprehensive study of the concepts and tools taught in the course Deep Learning. These include:
1.1 Overview
ANN Architecture
- Designing ANN using
PythonOOP concepts - Develop funtions to simulate ANN models with required methods for summarizing parameter details.
- Design a user friendly framework for ANN model creation like
Keras
- Designing ANN using
Popular Activation functions and their properties
- Definition and mathematical properties.
- Visualization.
- Comparitive study in the context of Deep Learning.
Multi Layer Perceptron
- MLP for regression task.
- MLP for classification task.
For convenience and continuity, each set of assignments is embedded for easy access:
1.2 Assignment 1
This assignment contains.